Eric W. Gill

TL;DR: A two-fold benchmarking scheme for evaluating existing SAR-ATR systems and motivating new system designs is proposed, and a taxonomization methodology for surveying the numerous methods published in the open literature is proposed.

TL;DR: This study introduces the first detailed, provincial-scale wetland inventory map of one of the richest Canadian provinces in terms of wetland extent and suggests a paradigm-shift from standard static products and approaches toward generating more dynamic, on-demand, large- scale wetland coverage maps through advanced cloud computing resources that simplify access to and processing of the “Geo Big Data.”

TL;DR: A new Fully Convolutional Network (FCN) architecture that can be trained in an end-to-end scheme and is specifically designed for the classification of wetland complexes using polarimetric SAR (PolSAR) imagery, demonstrating that the proposed network outperforms the conventional random forest classifier and the state-of-the-art FCNs, both visually and numerically for wetland mapping.

TL;DR: In this article, a pulsed dipole source is introduced into the previously derived electric field expressions for the bistatic reception of vertically polarized radiation scattered from rough surfaces that do not vary with time.

TL;DR: In this paper, the authors used the Hamburg Shelf Ocean Model (HAMSOM) to estimate the tsunami-induced current velocity at 1 km spatial resolution and 1 s time step.